Anil-matcha/Open-Higgsfield-AI
Open Higgsfield AI
Open-Higgsfield-AI is a generative AI content studio and visual workflow orchestrator. It provides a unified interface for creating photorealistic images and videos, utilizing a node-based editor to chain multiple image, video, and audio models into automated content pipelines.
The system functions as an AI video animation tool and local GPU inference engine, allowing users to run generative models on local hardware or remote servers. It includes specialized capabilities for audio-driven lip synchronization and cinematic camera controls to adjust virtual lens and focal settings.
The platform incorporates a generative AI asset manager to track generation history and maintain a reference image gallery. It also features an asynchronous generation queue for long-running synthesis tasks and local-first API key storage to manage authentication credentials.
Features
- AI Generation Studios - Provides an integrated studio workspace for creating photorealistic images and videos using a unified multi-modal interface.
- AI Workflow Builders - Provides a visual interface for designing and executing AI-driven agentic workflows using a node-based editor.
- AI Image Generation - Produces visual assets from text prompts or transforms existing images using generative AI models.
- AI Video Animation Suites - Provides a comprehensive suite for generating cinematic videos, animating frames, and syncing lip movements.
- Generative AI Workflows - Designs automated sequences of image, video, and audio models to create generative content.
- Hybrid Local-Remote AI Routing - Routes AI inference tasks between local GPU hardware and remote servers to optimize for cost and performance.
- Local Inference Engines - Enables the execution of generative AI models directly on local GPU hardware or remote servers to eliminate API costs.
- Video Generation - Generates cinematic videos from text prompts or static images using generative AI and virtual camera controls.
- Multi-Model Production Interfaces - Produces images and videos through a single unified interface connected to multiple generative models.
- Visual Node Orchestration - Uses a visual node-based orchestration system to connect generative models into a directed execution graph.
- Reference Asset Caching - Maintains a local cache of uploaded visual assets to serve as conditional inputs for generative models.
- Local AI Inference - Supports executing machine learning models on local hardware resources to ensure privacy and reduce latency.
- Lip-Synced - Animates portrait videos to synchronize lip movements with a provided audio track.
- Generative AI Asset Managers - Provides a local gallery and history tracker to manage reference images and previously generated AI outputs.
- Generative Camera Controls - Adjusts virtual lens and focal settings to simulate photorealistic cinematic camera movements.
- Reference Image Galleries - Stores uploaded images in a local gallery for reuse across different AI generation sessions.
- Asynchronous Task Queues - Implements an asynchronous task queue to manage long-running video and image synthesis jobs.
Star history
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